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Anion gap as a prognostic tool for risk stratification in critically ill patients – a systematic review and meta-analysis

BACKGROUND: Lactate concentration is a robust predictor of mortality but in many low resource settings facilities for its analysis are not available. Anion gap (AG), calculated from clinical chemistry results, is a marker of metabolic acidosis and may be more easily obtained in such settings. In thi...

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Autores principales: Glasmacher, Stella Andrea, Stones, William
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5006450/
https://www.ncbi.nlm.nih.gov/pubmed/27577038
http://dx.doi.org/10.1186/s12871-016-0241-y
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author Glasmacher, Stella Andrea
Stones, William
author_facet Glasmacher, Stella Andrea
Stones, William
author_sort Glasmacher, Stella Andrea
collection PubMed
description BACKGROUND: Lactate concentration is a robust predictor of mortality but in many low resource settings facilities for its analysis are not available. Anion gap (AG), calculated from clinical chemistry results, is a marker of metabolic acidosis and may be more easily obtained in such settings. In this systematic review and meta-analysis we investigated whether the AG predicts mortality in adult patients admitted to critical care settings. METHODS: We searched Medline, Embase, Web of Science, Scopus, The Cochrane Library and regional electronic databases from inception until May 2016. Studies conducted in any clinical setting that related AG to in-hospital mortality, in-intensive care unit mortality, 31-day mortality or comparable outcome measures were eligible for inclusion. Methodological quality of included studies was assessed using the Quality in Prognostic Studies tool. Descriptive meta-analysis was performed and the I(2) test was used to quantify heterogeneity. Subgroup analysis was undertaken to identify potential sources of heterogeneity between studies. RESULTS: Nineteen studies reporting findings in 12,497 patients were included. Overall, quality of studies was poor and most studies were rated as being at moderate or high risk of attrition bias and confounding. There was substantial diversity between studies with regards to clinical setting, age and mortality rates of patient cohorts. High statistical heterogeneity was found in the meta-analyses of area under the ROC curve (I(2) = 99 %) and mean difference (I(2) = 97 %) for the observed AG. Three studies reported good discriminatory power of the AG to predict mortality and were responsible for a large proportion of statistical heterogeneity. The remaining 16 studies reported poor to moderate ability of the AG to predict mortality. Subgroup analysis suggested that intravenous fluids affect the ability of the AG to predict mortality. CONCLUSION: Based on the limited quality of available evidence, a single AG measurement cannot be recommended for risk stratification in critically ill patients. The probable influence of intravenous fluids on AG levels renders the AG an impractical tool in clinical practice. Future research should focus on increasing the availability of lactate monitoring in low resource settings. PROSPERO REGISTRATION NUMBER: CRD42015015249. Registered on 4th February 2015. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12871-016-0241-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-50064502016-09-01 Anion gap as a prognostic tool for risk stratification in critically ill patients – a systematic review and meta-analysis Glasmacher, Stella Andrea Stones, William BMC Anesthesiol Research Article BACKGROUND: Lactate concentration is a robust predictor of mortality but in many low resource settings facilities for its analysis are not available. Anion gap (AG), calculated from clinical chemistry results, is a marker of metabolic acidosis and may be more easily obtained in such settings. In this systematic review and meta-analysis we investigated whether the AG predicts mortality in adult patients admitted to critical care settings. METHODS: We searched Medline, Embase, Web of Science, Scopus, The Cochrane Library and regional electronic databases from inception until May 2016. Studies conducted in any clinical setting that related AG to in-hospital mortality, in-intensive care unit mortality, 31-day mortality or comparable outcome measures were eligible for inclusion. Methodological quality of included studies was assessed using the Quality in Prognostic Studies tool. Descriptive meta-analysis was performed and the I(2) test was used to quantify heterogeneity. Subgroup analysis was undertaken to identify potential sources of heterogeneity between studies. RESULTS: Nineteen studies reporting findings in 12,497 patients were included. Overall, quality of studies was poor and most studies were rated as being at moderate or high risk of attrition bias and confounding. There was substantial diversity between studies with regards to clinical setting, age and mortality rates of patient cohorts. High statistical heterogeneity was found in the meta-analyses of area under the ROC curve (I(2) = 99 %) and mean difference (I(2) = 97 %) for the observed AG. Three studies reported good discriminatory power of the AG to predict mortality and were responsible for a large proportion of statistical heterogeneity. The remaining 16 studies reported poor to moderate ability of the AG to predict mortality. Subgroup analysis suggested that intravenous fluids affect the ability of the AG to predict mortality. CONCLUSION: Based on the limited quality of available evidence, a single AG measurement cannot be recommended for risk stratification in critically ill patients. The probable influence of intravenous fluids on AG levels renders the AG an impractical tool in clinical practice. Future research should focus on increasing the availability of lactate monitoring in low resource settings. PROSPERO REGISTRATION NUMBER: CRD42015015249. Registered on 4th February 2015. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12871-016-0241-y) contains supplementary material, which is available to authorized users. BioMed Central 2016-08-30 /pmc/articles/PMC5006450/ /pubmed/27577038 http://dx.doi.org/10.1186/s12871-016-0241-y Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Glasmacher, Stella Andrea
Stones, William
Anion gap as a prognostic tool for risk stratification in critically ill patients – a systematic review and meta-analysis
title Anion gap as a prognostic tool for risk stratification in critically ill patients – a systematic review and meta-analysis
title_full Anion gap as a prognostic tool for risk stratification in critically ill patients – a systematic review and meta-analysis
title_fullStr Anion gap as a prognostic tool for risk stratification in critically ill patients – a systematic review and meta-analysis
title_full_unstemmed Anion gap as a prognostic tool for risk stratification in critically ill patients – a systematic review and meta-analysis
title_short Anion gap as a prognostic tool for risk stratification in critically ill patients – a systematic review and meta-analysis
title_sort anion gap as a prognostic tool for risk stratification in critically ill patients – a systematic review and meta-analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5006450/
https://www.ncbi.nlm.nih.gov/pubmed/27577038
http://dx.doi.org/10.1186/s12871-016-0241-y
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